Hand Drawn Diagrams

Community

podo

hand-drawn-diagrams

Generate hand-drawn Excalidraw diagrams from a text prompt. Produces animated SVG, a hosted edit link, and PNG export. Lightweight alternative to excalidraw-diagram with a focus on quick ideation sketches.

Overview

Publisher	podo
Repository	`design-agent-skills`
Skill name	`hand-drawn-diagrams`
Stars	27
Forks	3
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by podo on GitHub. Read the source before you install it.

Installation

Install the Hand Drawn Diagrams AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/podo/design-agent-skills/tree/main/skills/hand-drawn-diagrams
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/podo/design-agent-skills.git /tmp/design-agent-skills
mkdir -p .claude/skills
cp -r /tmp/design-agent-skills/skills/hand-drawn-diagrams .claude/skills/hand-drawn-diagrams

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hand Drawn Diagrams in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hand Drawn Diagrams on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hand Drawn Diagrams is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

hand-drawn-diagrams

Catalogue stub — full skill: muthuishere/hand-drawn-diagrams

Decision tree

Is the full skill already installed?
- Global: f=~/.agents/skills/hand-drawn-diagrams/SKILL.md; [ -f "$f" ] && ! grep -q "^das:" "$f" && echo "installed" || echo "pointer"
- Project: f=.agents/skills/hand-drawn-diagrams/SKILL.md; [ -f "$f" ] && ! grep -q "^das:" "$f" && echo "installed" || echo "pointer"
- installed → the skill is installed as hand-drawn-diagrams, invoke it and proceed
- pointer → go to step 2

Detect scope, then install:

bash
[ -e ~/.agents/skills/hand-drawn-diagrams ] && echo "global" || echo "project"

Global:

bash
npx skills add muthuishere/hand-drawn-diagrams --skill hand-drawn-diagrams -g -y

Project:

bash
npx skills add muthuishere/hand-drawn-diagrams --skill hand-drawn-diagrams -y

Claude Code: send a command as a chat message starting with ! to run it without leaving the conversation.

Heads-up

Requires: Python with uv (the skill runs scripts/*.py through uv run python); Chrome DevTools MCP or Playwright, only for PNG and animated-SVG rendering
License: MIT (GitHub reports it as NOASSERTION)

Invoke after install

Skill name: hand-drawn-diagrams
Trigger phrases: "hand drawn diagram", "sketch diagram", "rough diagram"

What it does

Generates hand-drawn style Excalidraw diagrams (flows, explainers, mind maps, wireframes, page mockups) from a text prompt. It routes to a diagram type, writes and validates a .excalidraw file, then produces a hosted edit link, with animated SVG and PNG export as follow-ups. Monochrome sketch output by default. Best for quick whiteboard-style sketches and early ideation where the rough aesthetic communicates "this is exploratory." The edit and animation links open a page on the author's GitHub Pages site with the diagram encoded in the URL, so the diagram data travels in the link.

When NOT to use

Polished or structured diagrams with Excalidraw libraries and a render pipeline (use excalidraw-diagram)
Diagrams that must not leave your machine inside a shareable link (use excalidraw-diagram, which renders with a local Playwright browser)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

stub.yaml1 KB

Frequently asked questions

What does the Hand Drawn Diagrams AI skill do?

Why use Hand Drawn Diagrams on TypingMind?

Because you install it once and use it with any model. Hand Drawn Diagrams is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hand Drawn Diagrams in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/podo/design-agent-skills/tree/main/skills/hand-drawn-diagrams. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Hand Drawn Diagrams?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hand Drawn Diagrams?

As many as you like. As long as a model supports skills, you can use Hand Drawn Diagrams with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hand Drawn Diagrams AI skill free?

Yes. It is published on GitHub by podo under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

hand-drawn-diagrams

Decision tree

Invoke after install

What it does

When NOT to use

Bundled files

Frequently asked questions

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